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The IDEAS team (Insights, Data, Employee Experience, Agents, and Science), is one of the largest data science groups at Microsoft, our team plays a key role in providing data and analytics for M365 and owns the end to end ML and decision sciences charter. By joining our team, you will be at the heart of data, insights, machine learning, AI, and technology, lighting up actionable insights that drive key business decisions for the entire M365 organization. As a Senior Applied Scientist in IDEAs team, you will be bringing relevant data into a central systems to create the single version of truth and perform opportunity analysis and hypothesis generation for stages throughout the end-to-end customer lifecycle. This opportunity will allow you to gain experience in designing, prototyping, implementing and testing descriptive, predictive analytics, forecasting, causal inference models and also thrive in a team environment that values cross team collaboration and building on the success of others.
Identify and explore opportunities for the application of machine learning, AI and predictive analysis
Partner with teams across product, marketing, sales and engineering teams
Work with engineers to architect and develop operational models that run at scale
Communicate with technical and non-technical audiences, and contribute with your modeling experience as a team player
Tackle hard problems in innovative ways, drive self-directed initiatives, focusing on delivering the right results
Requirements:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Nice to have:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
OR equivalent experience
4+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis in big data environment
1+ years experience on large scale computing systems like COSMOS, Hadoop, Spark, Flink, MapReduce and/or similar systems
Familiarity with deep learning toolkits, e.g. CNTK, PyTorch